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2020 – today
- 2025
[j3]Yulin Wang
, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang:
InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation. Int. J. Comput. Vis. 133(5): 2752-2782 (2025)- [j2]Bowen Li, Xin Liu, Cai Zhou:
Robots and firm total factor productivity: evidence from China. Int. J. Technol. Manag. 97(4): 517-539 (2025) - [c5]Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou:
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. AAAI 2025: 415-423 - [i14]Menghua Wu, Cai Zhou, Stephen Bates, Tommi S. Jaakkola:
Thought calibration: Efficient and confident test-time scaling. CoRR abs/2505.18404 (2025) - [i13]Chenyu Wang, Cai Zhou, Sharut Gupta, Zongyu Lin, Stefanie Jegelka, Stephen Bates, Tommi S. Jaakkola:
Learning Diffusion Models with Flexible Representation Guidance. CoRR abs/2507.08980 (2025) - [i12]Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang:
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner. CoRR abs/2510.03206 (2025) - [i11]Chenxiao Yang, Cai Zhou, David Wipf, Zhiyuan Li:
On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond. CoRR abs/2510.06190 (2025) - [i10]Cai Zhou, Chenyu Wang, Dinghuai Zhang, Shangyuan Tong, Yifei Wang, Stephen Bates, Tommi S. Jaakkola:
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models. CoRR abs/2510.08632 (2025) - [i9]Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi S. Jaakkola, Yuandong Tian, Bo Liu:
SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models. CoRR abs/2510.09541 (2025) - 2024
- [c4]Cai Zhou, Rose Yu, Yusu Wang:
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. AISTATS 2024: 2179-2187 - [c3]Cai Zhou, Xiyuan Wang, Muhan Zhang:
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion. NeurIPS 2024 - [i8]Cai Zhou, Xiyuan Wang, Muhan Zhang:
Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs. CoRR abs/2402.02518 (2024) - [i7]Cai Zhou, Rose Yu, Yusu Wang:
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. CoRR abs/2404.03380 (2024) - [i6]Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Shufei Zhang, Mao Su, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou:
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. CoRR abs/2408.07246 (2024) - [i5]Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang:
Geometric Representation Condition Improves Equivariant Molecule Generation. CoRR abs/2410.03655 (2024) - [i4]Junru Zhou, Cai Zhou, Xiyuan Wang, Pan Li, Muhan Zhang:
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors. CoRR abs/2410.09737 (2024) - [i3]Zidong Wang, Zeyu Lu, Di Huang, Cai Zhou, Wanli Ouyang, Lei Bai:
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model. CoRR abs/2410.13925 (2024) - 2023
- [c2]Cai Zhou, Xiyuan Wang, Muhan Zhang:
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. ICML 2023: 42742-42768 - [c1]Cai Zhou, Xiyuan Wang, Muhan Zhang:
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. NeurIPS 2023 - [i2]Cai Zhou, Xiyuan Wang, Muhan Zhang:
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. CoRR abs/2305.04963 (2023) - [i1]Cai Zhou, Xiyuan Wang, Muhan Zhang:
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. CoRR abs/2310.19285 (2023)
2010 – 2019
- 2019
- [j1]Lei Ding, Yu Li, Cai Zhou, Min Hu, Yuli Xiong, Zhongliang Zeng:
In-Fiber Mach-Zehnder Interferometer Based on Three-Core Fiber for Measurement of Directional Bending. Sensors 19(1): 205 (2019)
Coauthor Index
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